Feng Liu

According to our database, Feng Liu authored at least 18 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images.

Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu

Medical Image Anal., 2022

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.

Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels.

Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu

Proceedings of the Computer Vision - ECCV 2022, 2022

Neighborhood Collective Estimation for Noisy Label Identification and Correction.

Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu

Proceedings of the Computer Vision, 2022

2020

Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool.

Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction.

Qiuyue Liu, Zhen Zhou, Feng Liu, Xiangming Fang, Yizhou Yu, Yizhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Evaluating Multi-Class Segmentation Errors with Anatomical Priors.

Xiaoqian Wang, Qianyi Zhang, Zhen Zhou, Feng Liu, Yizhou Yu, Yizhou Wang, Wen Gao

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation.

Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2018

IVQA: Inverse Visual Question Answering.

Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Sketch-a-Net: A Deep Neural Network that Beats Humans.

Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

Int. J. Comput. Vis., 2017

Actor-Critic Sequence Training for Image Captioning.

Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales

CoRR, 2017

Semantic Regularisation for Recurrent Image Annotation.

Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Sketch Me That Shoe.

Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

High-level spatial modeling in convolutional neural network with application to pedestrian detection.

Feng Liu, Yongzhen Huang, Wankou Yang, Changyin Sun

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014

Spatial modeling via feature co-pooling and SG grafting.

Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang, Changyin Sun

Neurocomputing, 2014

Deep auto-encoder based clustering.

Chunfeng Song, Yongzhen Huang, Feng Liu, Zhenyu Wang, Liang Wang

Intell. Data Anal., 2014

2013

Boosting Deformable Part Model by Sample Sharing and Outlier Ablation.

Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang

Proceedings of the Intelligence Science and Big Data Engineering, 2013

Auto-encoder Based Data Clustering.

Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, Tieniu Tan

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013